hirunima / multi-label-classification Goto Github PK
View Code? Open in Web Editor NEWClassify mutually inclusive labeled data with pascal VOC
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all CNN models have very high performance. It is weird.
I did some test with your project, but I found a weird thing that no matter what models you used in, such as VGG16, LENET-5, these models will reach the val_acc to 92% after 1 epoch. I checked whether this project use data augment, the answer is not. So I am confused about this. Can you give me some advises? It is too good and can't be accepted.
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